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Amazon Data Firehose was previously known as Amazon Kinesis Data Firehose

Converting Your Input Record Format in Firehose

Amazon Data Firehose can convert the format of your input data from JSON to Apache Parquet or Apache ORC before storing the data in Amazon S3. Parquet and ORC are columnar data formats that save space and enable faster queries compared to row-oriented formats like JSON. If you want to convert an input format other than JSON, such as comma-separated values (CSV) or structured text, you can use Amazon Lambda to transform it to JSON first. For more information, see Amazon Data Firehose Data Transformation.

Record Format Conversion Requirements

Amazon Data Firehose requires the following three elements to convert the format of your record data:

You can convert the format of your data even if you aggregate your records before sending them to Amazon Data Firehose.

Choosing the JSON Deserializer

Choose the OpenX JSON SerDe if your input JSON contains time stamps in the following formats:

The OpenX JSON SerDe can convert periods (.) to underscores (_). It can also convert JSON keys to lowercase before deserializing them. For more information about the options that are available with this deserializer through Amazon Data Firehose, see OpenXJsonSerDe.

If you're not sure which deserializer to choose, use the OpenX JSON SerDe, unless you have time stamps that it doesn't support.

If you have time stamps in formats other than those listed previously, use the Apache Hive JSON SerDe. When you choose this deserializer, you can specify the time stamp formats to use. To do this, follow the pattern syntax of the Joda-Time DateTimeFormat format strings. For more information, see Class DateTimeFormat.

You can also use the special value millis to parse time stamps in epoch milliseconds. If you don't specify a format, Amazon Data Firehose uses java.sql.Timestamp::valueOf by default.

The Hive JSON SerDe doesn't allow the following:

The Hive SerDe doesn't convert nested JSON into strings. For example, if you have {"a":{"inner":1}}, it doesn't treat {"inner":1} as a string.

Choosing the Serializer

The serializer that you choose depends on your business needs. To learn more about the two serializer options, see ORC SerDe and Parquet SerDe.

Converting Input Record Format (Console)

You can enable data format conversion on the console when you create or update a Firehose stream. With data format conversion enabled, Amazon S3 is the only destination that you can configure for the Firehose stream. Also, Amazon S3 compression gets disabled when you enable format conversion. However, Snappy compression happens automatically as part of the conversion process. The framing format for Snappy that Amazon Data Firehose uses in this case is compatible with Hadoop. This means that you can use the results of the Snappy compression and run queries on this data in Athena. For the Snappy framing format that Hadoop relies on, see BlockCompressorStream.java.

Converting Input Record Format (API)

If you want Amazon Data Firehose to convert the format of your input data from JSON to Parquet or ORC, specify the optional DataFormatConversionConfiguration element in ExtendedS3DestinationConfiguration or in ExtendedS3DestinationUpdate. If you specify DataFormatConversionConfiguration, the following restrictions apply:

Record Format Conversion Error Handling

When Amazon Data Firehose can't parse or deserialize a record (for example, when the data doesn't match the schema), it writes it to Amazon S3 with an error prefix. If this write fails, Amazon Data Firehose retries it forever, blocking further delivery. For each failed record, Amazon Data Firehose writes a JSON document with the following schema:

{
  "attemptsMade": long,
  "arrivalTimestamp": long,
  "lastErrorCode": string,
  "lastErrorMessage": string,
  "attemptEndingTimestamp": long,
  "rawData": string,
  "sequenceNumber": string,
  "subSequenceNumber": long,
  "dataCatalogTable": {
    "catalogId": string,
    "databaseName": string,
    "tableName": string,
    "region": string,
    "versionId": string,
    "catalogArn": string
  }
}

Record Format Conversion Example

For an example of how to set up record format conversion with Amazon CloudFormation, see Amazon::DataFirehose::DeliveryStream.